Frank Stein

5.4k citations
98 papers · 3.3k indexed · 1 hit paper · h-index 30

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Mitochondrial Function and Pathology
    • Lipid Membrane Structure and Behavior

Papers in

Frank Stein

93 papers receiving 3.2k citations

Hit Papers

The functional landscape of the human phosphoproteome 2019 · 300 citations
3002019202620212023100200300

Peers

Frank Stein
Comparison fields: 5 of 119
  • Molecular Biology 2.0k
  • Cell Biology 370
  • Spectroscopy 352
  • Organic Chemistry 586
  • Aging 27
Replace Gary S. Shaw with:
Gary S. Shaw Canada
Igor Štagljar Canada
Tamar Unger Israel
Tomasz Cierpicki United States
Nils Johnsson Germany
Danielle L. Swaney United States
Olli T. Pentikäinen Finland
Holger Kramer United Kingdom
Shawn S.‐C. Li Canada
Margarita García‐Calvo United States
Frank Stein relative to Gary S. Shaw Canada Gary S. Shaw's profile →
Citations per field
00.5×1.5×1.9×
Gary S. Shaw · 1×
Citations per year

Countries citing papers authored by Frank Stein

Since Specialization
Citations

This map shows the geographic impact of Frank Stein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frank Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Stein more than expected).

Fields of papers citing papers by Frank Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Stein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frank Stein. The network helps show where Frank Stein may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Frank Stein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Stein Line = papers co-authored together Frank Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 20249
3 202412
4 20245
5 202411
6 20240
7 202327
8 20239
9 202320
10 202322
11 202261
12 202020
13 202063
14 202021
15 202041
16 202025
17
The functional landscape of the human phosphoproteome
Hit paper breakdown →
2019300
18 2017104
19 20166
20 201366

About Frank Stein

Frank Stein is a scholar working on Biophysics, Cell Biology, Molecular Biology, Organic Chemistry and Paleontology, having authored 98 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (10 papers), Protein Structure and Dynamics (8 papers), Cyclopropane Reaction Mechanisms (8 papers), Synthetic Organic Chemistry Methods (8 papers), Ubiquitin and proteasome pathways (7 papers) and Catalytic Cross-Coupling Reactions (7 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cell Biology (370 citations), Spectroscopy (352 citations), Organic Chemistry (586 citations) and Aging (27 citations). Frank Stein has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Mikhail M. Savitski, Carsten Schultz, André Mateus, Michael Duetsch, Athanasios Typas, Dominic Helm, Per Haberkant, Nils Kurzawa, Mandy Rettel and Armin de Meijere. Their work appears in journals such as Nature Communications, Molecular Systems Biology, Nucleic Acids Research, ACS Chemical Biology and The EMBO Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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